Credit Risk Modeling Python Developer

Credit Risk Modeling Python Developer

U.S.Bank | Elavon

Hybrid

Hexjobs Insights

Role: Credit Risk Modeling Python Developer. Responsibilities: Develop Python components for credit risk models, re-engineer model engines, optimize code, collaborate with teams. Requirements: 3+ years experience, Bachelor's in a relevant field.

Schlüsselwörter

Python
SAS
SQL
data processing
cloud-based tools
model development
cross-functional teamwork
CI/CD
version control
data analytics

Vorteile

  • Clearly defined salary ranges aligned with industry benchmarks
  • Performance-based incentives based on objective criteria
  • Inclusive equitable benefits focusing on financial wellbeing and health
  • Continuous development opportunities including training support
  • Employee recognition programs for achievements

Technologies we use

Your responsibilities

  • Develop and maintain Python-based components for the credit risk model lifecycle.
  • Re-engineering a model production engine from SAS to Python, ensuring accuracy and consistency.
  • Key areas of impact will include model implementation, production and monitoring as well as dashboards and reporting.
  • Collaborate with quantitative model developers to implement model logic and integrate it into production systems.
  • Optimize code for efficiency, scalability, and compliance with internal standards.
  • Design and implement automated workflows for data processing, testing, and deployment.
  • Ensure robust version control, documentation, and adherence to software development best practices.
  • Work closely with infrastructure and risk teams to support smooth implementation and delivery.

Our requirements

  • 3+ years of experience in software development, data analytics, or related roles, preferably in financial services, banking, and/or credit risk.
  • Bachelor’s Degree or higher in a quantitative/technical field such as statistics, mathematics, computer science, data science, or engineering.
  • Strong proficiency in Python and experience building production-grade applications.
  • Solid understanding of SQL and relational databases.
  • Strong problem-solving skills and ability to work in cross-functional teams.

Optional

  • Experience with SAS.
  • Experience with quantitative model development and/or validation.
  • Familiarity with software engineering principles, including design patterns, testing, CI/CD, and version control (Git).
  • Experience with cloud-based tools and infrastructure (Azure or AWS).
  • Familiarity with automation and orchestration tools (Airflow, Bash scripting).
  • Understanding performance optimization for large-scale data processing.

What we offer

  • Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.
  • Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance.
  • Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).
  • Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.
  • Employee recognition programs that celebrate achievements and milestones for all.

Benefits

Aufrufe: 6
Veröffentlichtvor 24 Tagen
Läuft abin 6 Tagen
ArbeitsmodusHybrid

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